Research output per year
Research output per year
Personal profile
Author IDs
ORCID iD: 0000-0003-3748-4160
Scopus Author ID: 57217749127
Google Scholar Profile: UYMV3qMAAAAJ
Impact
Qualifications (Brief)
BSc and MPhil (CUHK), MS (University of Maryland), PhD (Johns Hopkins University)
Qualifications/Experiences
- Jan 2022 - Jul 2023, Postdoctoral Fellow, Mathematical Institute for Data Science, Johns Hopkins University.
Biography
Chun Pong Lau is currently an Assistant Professor at the School of Data Science, City University of Hong Kong. He received his Ph.D. in Computer Science in 2021 from Johns Hopkins University. He received his M.Sc. in Applied Mathematics in 2020 from University of Maryland, M.Phil. and B.Sc. in Mathematics from The Chinese University of Hong Kong in 2016 and 2018, respectively. From 2022 to 2023, he was a postdoctoral fellow at Mathematical Institute for Data Science, Johns Hopkins University. With a strong background in mathematics and computer science, Prof. Lau has strong research interests in developing reliable and robust computer vision algorithms, including Atmospheric Turbulence Mitigation, Adversarial Robustness, Biometrics at Severe Conditions, and Generative AI.
Prof. Lau has published numerous peer-reviewed articles in prestigious journals/conferences, such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Biometrics, Behavior, and Identity Science, IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), and The Conference on Neural Information Processing Systems (NeurIPS) etc. Prof. Lau was the recipient of a few awards from IEEE, including best paper awards from IEEE conference on Automatic Face and Gesture Recognition.
Prof. Lau has served as a reviewer for various top journals/conference, including IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Multimedia, IEEE Transactions on Computational Imaging and CVPR, ICCV, ECCV, WACV, BMVC, AAAI, NeurIPS, ICML, ICLR.
Position(s) Available
I am looking for highly motivated Ph.D. students with a background in computer science, data science, mathematics, statistics or related fields. I also have a postdoc position this year. Please send your CV and transcript(s) to [email protected] if you are interested.
Research Interests/Areas
- Computer Vision
- Image Processing
- Adversarial Robustness
- Unconstrained Biometrics
- Generative AI
- Deep Learning
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 2 Zero Hunger -
SDG 11 Sustainable Cities and Communities -
SDG 17 Partnerships for the Goals
Fingerprint
Dive into the research topics where Chun Pong LAU is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations from the last five years
Recent external collaboration based on locations. Dive into details by clicking on the dots or
Research output
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Instant Adversarial Purification with Adversarial Consistency Distillation
Lei, C. T., Yam, H. M., Guo, Z., Qian, Y. & Lau, C. P., 13 Aug 2025, 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, p. 24331-24340 (Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online)).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Open Access14 Link opens in a new tab Citations (Scopus) -
T2ICount: Enhancing Cross-modal Understanding for Zero-Shot Counting
Qian, Y., Guo, Z., Deng, B., Lei, C. T., Zhao, S., Lau, C. P., Hong, X. & Pound, M. P., 2025, 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2025 - Proceedings. Los Alamitos, Calif.: IEEE, p. 25336-25345 10 p.Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Open Access11 Link opens in a new tab Citations (Scopus) -
Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses
Lau, C. P., Liu, J., Souri, H., Lin, W.-A., Feizi, S. & Chellappa, R., 1 Nov 2023, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 45, 11, p. 13054-13067Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
19 Link opens in a new tab Citations (Scopus) -
Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection
Liu, J., Levine, A., Lau, C. P., Chellappa, R. & Feizi, S., 2022, Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition: CVPR 2022. IEEE, p. 14953-14962 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
123 Link opens in a new tab Citations (Scopus) -
Dual manifold adversarial robustness: Defense against Lp and non-Lp adversarial attacks
Lin, W.-A., Lau, C. P., Levine, A., Chellappa, R. & Feizi, S., Dec 2020, 34th Conference on Neural Information Processing Systems (NeurIPS 2020). Larochelle, H., Ranzato, M., Hadsell, R., Balcan, M. F. & Lin, H. (eds.). Neural Information Processing Systems (NeurIPS), Vol. 5. p. 3487-3498 (Advances in Neural Information Processing Systems; vol. 33).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Open Access46 Link opens in a new tab Citations (Scopus)
Projects
- 1 Active
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DON_RMG: Latent-Space Adversarial Protection against Malicious Face Recognition Model - RMGS
LAU, C. P. (Principal Investigator / Project Coordinator)
1/07/24 → …
Project: Research
Prizes
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Best Paper Award (Honorable Mention)
LAU, C. P. (Recipient), Souri, H. (Recipient) & Chellappa, R. (Recipient), 2020
Prize: RGC 64B - Prizes and awards
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Adversarial Robustness From Object Detection in Autonomous Driving to Face Recognition & Deepfake Resilience
LAU, C. P. (Speaker)
17 Jul 2026Activity: Talk/lecture or presentation › Talk/lecture
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Distinguished Lecture Series on Applications of Mathematics in STEAM World
LAU, C. P. (Speaker)
6 May 2026Activity: Talk/lecture or presentation › Talk/lecture
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Ad Hoc Committee for Integrating Mathematical Modelling into Secondary Mathematics Curriculum (External organisation)
LAU, C. P. (Member)
Nov 2025 → Apr 2026Activity: Membership › Membership of committee
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The “2025 Hong Kong-Shanghai Mathematical Modelling Competition for Secondary Students” and “Mathematical Modelling Competition for Secondary Students 2024/25”
LAU, C. P. (Examiner)
30 Jul 2025 → 2 Aug 2025Activity: Examination (for external institution) › Examination
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Threefold Pursuit: Navigating University Life, Christian Values, and Research Excellence
LAU, C. P. (Speaker)
29 Feb 2024Activity: Talk/lecture or presentation › Talk/lecture